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Network Protocols Semiautomatic Diagnostics
Svoboda, Ondřej ; Ryšavý, Ondřej (referee) ; Holkovič, Martin (advisor)
This thesis is about semiautomatic network protocol diagnostics and creating protocol description from eavesdropped communication. Several network eavesdropping techniques and some common programs for network analysis are introduced. Well-known network protocols are described, with focus on their communication messages. Some already existing methods for creating models from examples are mentioned and their characteristics defined. Next we design architecture of developed tool and some methods, that create protocol description. After that we explain implementation of this tool and finally the tool is tested and experimented with.
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Use Machine Learning to Predict Future Market Prices
Klhůfek, Michal ; Trchalík, Roman (referee) ; Holkovič, Martin (advisor)
This thesis discusses a market prediction system based on the data obtained from the historic tranzaction. The main goal was to use the techniques of technical analysis to create a more accurate estimation of market behavior in the future. The data obtained from the current state of the market are compared with the historical market values using the algorithms for the classification of data from the field of learning. Based on individual algorithms, the software was designed to try to match the two sets of data as closely as possible. Testing took place on a dataset that represented the past market enthusiasm, and how much the overall system is performing.
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Analysis and Visualization of e-Mail Marketing Campaigns
Urbanczyk, Martin ; Holkovič, Martin (referee) ; Hynek, Jiří (advisor)
The goal of this thesis is evaluating Posílátko.cz application and making extensions on the basis of thorough analysis and comparison of other similar products. This extensions are going to lead into increased user awareness of campagins state, so user can react accordingly. Extensions are going to be founded mostly on statistics data. Next I am going to implement campaign summary documents, where people can find all the data without logging into the application. So user can take this documents and present it easily on corporate consultations.
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Diagnosing Errors inside Computer Networks Based on the Typo Errors
Bohuš, Michal ; Ryšavý, Ondřej (referee) ; Holkovič, Martin (advisor)
The goal of this diploma thesis is to create system for network data diagnostics based on detecting and correcting spelling errors. The system is intended to be used by network administrators as next diagnostics tool. As opposed to the primary use of detection and correction spelling error in common text, these methods are applied to network data, which are given by the user. Created system works with NetFlow data, pcap files or log files. Context is modeled with different created data categories. Dictionaries are used to verify the correctness of words, where each category uses its own. Finding a correction only according to the edit distance leads to many results and therefore a heuristic for evaluating candidates was proposed for selecting the right candidate. The created system was tested in terms of functionality and performance.
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Phishing Detection in Web Pages
Beňo, Marek ; Hrivňák, Ján (referee) ; Holkovič, Martin (advisor)
This work deals with the design of a phishing attack detection and classification tool. The work describes techniques and forms of phishing attacks and availible tools and techniques for phishing detection. Based on the analysis of existing tools a solution for file classification is proposed. Implemented tool handles input parsing and creation of input model. Model is based on hybrid analysis of input file and URL. Using the YARA tool, YARA rules are applied which are then used in creation of input classification. Analysis of input model and definition of classification rules is enabled by implemented YARA module. Implemented solution makes it possible to define YARA rules for phishing classification based on the structural properties of a phishing file and features of source URL.
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Graphical Visualization of Incident Handling
Markovičová, Veronika ; Holkovič, Martin (referee) ; Hynek, Jiří (advisor)
This bachelor thesis describes the proposal and implementation of components that visualize data on incidents and their states. These components aims to create a clear visualization of incidents and their states that would facilitate the search for information on incidents and thus streamlining their work. One of the components created shows a detailed description of individual states of incident. The second created component shows either one or more incidents as the sequence of their states on the timeline. As a suitable tool for visualization and demonstration of created components, dashboard has been chosen. Components were consulted and tested with Flowmon.
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Interactive Comparison of Train Connections
Uhlíř, Jan ; Holkovič, Martin (referee) ; Hynek, Jiří (advisor)
This bachelor's thesis is concerned by question of interactive comparison of train connections with graphic timetable. The first step was to analyze existing applications. Subsequently, an analysis of the available technologies for creating custom diagrams and database systems was performed. The product of this thesis is a web application which purpose is a graphic representation of traffic on the track in the form of an interactive graphic element. The displayed data can be filtered according to user's configuration.
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SDN Routing According to Transmitted Content
Gavryliuk, Olga ; Franková, Barbora (referee) ; Holkovič, Martin (advisor)
This works main point of focus is routing in software defined networks, which allow routing based on transfered packets. For accomplishing this task it was necessary to create a detection mechanism, that finds the connection within the OS which needs priority handling. New connections are sent via a routing aplication which is running on the SDN controller POX. The controller divides applications based on two criteria: The application requiring the largest bandwidth and the application requiring the fastest route. For this purpose four algorithms for routing data based on application preferences were designed and implemented. The applications were implemented in the Python language and they were tested in the simulation tool Mininet.
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Detection of Volumetric DoS and DDoS Attacks in Real Time on the L3 Network Layer
Škápik, Anton ; Grégr, Matěj (referee) ; Holkovič, Martin (advisor)
This bachelor thesis explores and implements capabilities of real-time DoS and DDoS detection. Leveraging NetFlow stream processing tool, the resulting product provides the ability to detect attacks within a few seconds and create rules to mitigate the attack. The rules are converted from an form of records into a flowspec filter that is distributed by BGP between the routers in the monitored network. The program was implemented and tested. The work is written in collaboration with Flowmon Networks a.s., using their proprietary applications for NetFlow record processing.
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Graphical Visualization of Network Traffic Geographical Data
Kachlík, Jakub ; Holkovič, Martin (referee) ; Hynek, Jiří (advisor)
During ongoing Internet attacks is important to find out as much information about the attacker as possible and to pass this information clearly to the network administrator. The Flowmon monitoring system is currently able to determine the source destination of sent packets, group them into flows and write them into a table. The data visualized in this way are confusing to create a geographical analysis of the attack. The objective of this work is to create a web information dashboard that will display geographic visualizations of network traffic. It will provide more detailed and easier-to-understand analysis to users of the tools.
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